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Mendeley readers
Attention Score in Context
| Title |
Computational discovery of regulatory elements in a continuous expression space
|
|---|---|
| Published in |
Genome Biology, November 2012
|
| DOI | 10.1186/gb-2012-13-11-r109 |
| Pubmed ID | |
| Authors |
Mathieu Lajoie, Olivier Gascuel, Vincent Lefort, Laurent Bréhélin |
| Abstract |
Approaches for regulatory element discovery from gene expression data usually rely on clustering algorithms to partition the data into clusters of co-expressed genes. Gene regulatory sequences are then mined to find overrepresented motifs in each cluster. However, this ad hoc partition rarely fits the biological reality. We propose a novel method called RED2 that avoids data clustering by estimating motif densities locally around each gene. We show that RED2 detects numerous motifs not detected by clustering-based approaches, and that most of these correspond to characterized motifs. RED2 can be accessed online through a user-friendly interface. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 3% |
| France | 1 | 3% |
| Hong Kong | 1 | 3% |
| Mexico | 1 | 3% |
| Argentina | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 27 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 36% |
| Student > Ph. D. Student | 11 | 33% |
| Professor | 3 | 9% |
| Professor > Associate Professor | 2 | 6% |
| Student > Bachelor | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 58% |
| Biochemistry, Genetics and Molecular Biology | 5 | 15% |
| Computer Science | 3 | 9% |
| Mathematics | 2 | 6% |
| Environmental Science | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 3 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 December 2012.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Genome Biology
#4,093
of 4,467 outputs
Outputs of similar age
#191,781
of 286,174 outputs
Outputs of similar age from Genome Biology
#40
of 44 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 286,174 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.